David Heckerman

185 papers and 14.0k indexed citations i.

About

David Heckerman is a scholar working on Artificial Intelligence, Virology and Molecular Biology. According to data from OpenAlex, David Heckerman has authored 185 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 63 papers in Virology and 62 papers in Molecular Biology. Recurrent topics in David Heckerman’s work include HIV Research and Treatment (63 papers), Bayesian Modeling and Causal Inference (49 papers) and vaccines and immunoinformatics approaches (36 papers). David Heckerman is often cited by papers focused on HIV Research and Treatment (63 papers), Bayesian Modeling and Causal Inference (49 papers) and vaccines and immunoinformatics approaches (36 papers). David Heckerman collaborates with scholars based in United States, United Kingdom and South Africa. David Heckerman's co-authors include Dan Geiger, David M. Chickering, Carl Kadie, Eric Horvitz, Jennifer Listgarten, Christoph Lippert, David Maxwell Chickering, Noah Zaitlen, Andrew Kirby and Claire M. Wade and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of David Heckerman

This figure shows the co-authorship network connecting the top 25 collaborators of David Heckerman. A scholar is included among the top collaborators of David Heckerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Heckerman. David Heckerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by David Heckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Heckerman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Heckerman. The network helps show where David Heckerman may publish in the future.

Countries citing papers authored by David Heckerman

Since Specialization
Citations

This map shows the geographic impact of David Heckerman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Heckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Heckerman more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2026